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Pattern recognition : theory and application

Author: Erwin A Zoeller
Publisher: New York : Nova Science Publishers, ©2008.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Pattern recognition studies the operation and design of systems that recognize patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Erwin A Zoeller
ISBN: 9781600217173 1600217176
OCLC Number: 137325047
Description: xii, 403 pages : illustrations (some color) ; 27 cm
Contents: Ch. 1. Aspects of Quantum Pattern Recognition / Fariel Shafee --
Ch. 2. Symbolic Dynamic Filtering for Data-Driven Pattern Recognition / Shalabh Gupta and Asok Ray --
Ch. 3a. A Vision-Based Travel Aid for the Blind / Mu-Chun Su, Yi-Zeng Hsieh, De-Yuan Huang, Yu-Xiang Zhao and Chung-Chi Sun --
Ch. 3b. A SOMO-Based Clustering Algorithm and Its Application in Object Detection / Mu-Chun Su, Yu-Xiang Zhao and Chien-Hsing Chou --
Ch. 4. RISE: A Robust Image Search Engine / Debangshu Goswami, Sanjiv K. Bhatia and Ashok Samal --
Ch. 5. Performance Evaluation of Passive and Active Optical Pattern Recognition Structures: A Comparison Study / Muhsen Aljada and Kamal E. Alameh --
Ch. 6. Advances and Challenges in 3D and 2D+3D Human Face Recognition / Shalini Gupta, Mia. K. Markey and Alan C. Bovik --
Ch. 7. Spatial Pattern Recognition Models with Application in Image Analysis / S. Zimeras --
Ch. 8. Local Similarity Matching Method for Removing Noise from Experimental Spectra / Sandy Owega --
Ch. 9. Introduction to Chaotic Pattern Recognition: Periodicity and Stability Issues of a Chaotic Neural Network / D. Calitoiu, B. John Oommen and D. Nussbaum --
Ch. 10. Comparison of Pattern Classification Techniques --
A Case Study of Fruit Inspection by Computer Vision / Devrim Unay and Bernard Gosselin --
Ch. 11. Matrix Decomposition for Feature Generation from High Dimensional Data / Dao-Qing Dai and Hong Yan --
Ch. 12. Optimizing Mahalanobis Kernels for Pattern Classification / Shigeo Abe --
Ch. 13. Pattern Recognition for Machine Fault Diagnosis Using Support Vector Machine / Bo-Suk Yang and Achmad Widodo.
Responsibility: Erwin A. Zoeller, editor.
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Abstract:

Studies the operation and design of systems that recognise patterns in data. This work encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis,  Read more...

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